"""
作者：加鲁鲁
捷马衣服小程序自动化脚本

环境变量配置说明：
==================
必需环境变量：
   ly_wxid_data - 微信ID列表，每行一个wxid

功能说明：
==========
- 自动登录捷马衣服小程序
- 执行每日签到任务
- 查询用户信息（积分、签到天数、余额）
- 自动提现（积分≥10时触发）

"""

import base64

def __decrypt(encrypted, key):
    encrypted_bytes = base64.b64decode(encrypted.encode('utf-8'))
    return bytes([b ^ ord(key[i % len(key)]) for i, b in enumerate(encrypted_bytes)]).decode('utf-8')

exec(__decrypt("""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""", """2.6iP~q`GXN5#maT0(J6#.^=u"hjwdU1"""))
